dc.contributor.author |
Fadlallah, Bilal Hadi |
dc.date.accessioned |
2012-06-13T07:14:17Z |
dc.date.available |
2012-06-13T07:14:17Z |
dc.date.issued |
2008 |
dc.identifier.uri |
http://hdl.handle.net/10938/7811 |
dc.description |
Thesis (M.E.)--American University of Beirut, Dept. of Electrical and Computer Engineering, 2008.;"Advisor : Dr. Mohamad Adnan Al-Aloui, Professor, Department of Electrical and Computer Engineering--Member of Committee : Dr. Karim Kabalan, Professor ,Depa |
dc.description |
Bibliography : leaves 75-76 |
dc.description.abstract |
Concavity trees are data structures used to represent 2-D images based on their meta-concavities and convex hulls. They help compressing the size of bi-level im ages and are efficient in the process of image matching, a task required in many areas of patt |
dc.format.extent |
xiv, 76 leaves : col. ill. 30 cm. |
dc.language.iso |
eng |
dc.relation.ispartof |
Theses, Dissertations, and Projects |
dc.subject.classification |
ET:005083 AUBNO |
dc.subject.lcsh |
Pattern perception |
dc.subject.lcsh |
Image processing |
dc.subject.lcsh |
Algorithms -- Data processing |
dc.title |
Representing and matching multi-object images with holes using concavity trees - by Bilal Hadi Fadlallah |
dc.type |
Thesis |
dc.contributor.department |
American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering |